EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State
AbstractAn efficient maintenance is a key consideration in systems of railway transport, especially in high-speed trains, in order to avoid accidents with catastrophic consequences. In this sense, having a method that allows for the early detection of defects in critical elements, such as the bogie mechanical components, is a crucial for increasing the availability of rolling stock and reducing maintenance costs. The main contribution of this work is the proposal of a methodology that, based on classical signal processing techniques, provides a set of parameters for the fast identification of the operating state of a critical mechanical system. With this methodology, the vibratory behaviour of a very complex mechanical system is characterised, through variable inputs, which will allow for the detection of possible changes in the mechanical elements. This methodology is applied to a real high-speed train in commercial service, with the aim of studying the vibratory behaviour of the train (specifically, the bogie) before and after a maintenance operation. The results obtained with this methodology demonstrated the usefulness of the new procedure and allowed for the disclosure of reductions between 15% and 45% in the spectral power of selected Intrinsic Mode Functions (IMFs) after the maintenance operation. View Full-Text
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Bustos, A.; Rubio, H.; Castejón, C.; García-Prada, J.C. EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State. Sensors 2018, 18, 793.
Bustos A, Rubio H, Castejón C, García-Prada JC. EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State. Sensors. 2018; 18(3):793.Chicago/Turabian Style
Bustos, Alejandro; Rubio, Higinio; Castejón, Cristina; García-Prada, Juan C. 2018. "EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State." Sensors 18, no. 3: 793.
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